Benchmark pages of AIDA64 Extreme provide several methods to measure system performance. These benchmarks are synthetic, so their results show only the theoretical (maximum) performance of the system.

CPU and FPU benchmarks of AIDA64 Extreme are built on the multi-threaded AIDA64 Benchmark Engine that supports up to 1280 simultaneous processing threads. It also supports multi-processor, multi-core and HyperThreading enabled systems.

Ray tracing benchmarks

These benchmarks measure the single and double precision (also known as 32-bit and 64-bit) floating-point performance through the computation of a scene with a SIMD-enhanced ray tracing engine. The code behind this benchmark method is written in Assembly, and it is extremely optimized for every popular AMD, Intel and VIA processor core variants by utilizing the appropriate x87, SSE, SSE2, SSE3, SSSE3, SSE4.1, AVX, AVX2, XOP, FMA, FMA4 and AVX-512 instruction set extension. Both FP32 and FP64 Ray-Trace test is HyperThreading, multi-processor (SMP) and multi-core (CMP) aware.

The Memory Latency benchmark measures the typical delay when the CPU reads data from system memory. Memory latency time means the penalty measured from the issuing of the read command until the data arrives to the integer registers of the CPU.

CPU Queen Benchmark

This simple integer benchmark focuses on the branch prediction capabilities and the misprediction penalties of the CPU. It finds the solutions for the classic “Queens problem” on a 10 by 10 sized chessboard. At the same clock speed theoretically, the processor with the shorter pipeline and smaller misprediction penalties will attain higher benchmark scores. For example — with HyperThreading disabled — the Intel Northwood core processors get higher scores than the Intel Prescott core based ones due to the 20-step vs 31-step long pipeline. CPU Queen test uses integer MMX, SSE2 and SSSE3 optimizations.

CPU PhotoWorxx Benchmark

This benchmark performs different common tasks used during digital photo processing.

FPU Julia Benchmark

This benchmark measures the single precision (also known as 32-bit) floating-point performance through the computation of several frames of the popular “Julia” fractal. The code behind this benchmark method is written in Assembly, and it is extremely optimized for every popular AMD, Intel and VIA processor core variants by utilizing the appropriate x87, 3DNow!, 3DNow!+, SSE, AVX, AVX2, FMA, FMA4 and AVX-512 instruction set extension. FPU Julia test is HyperThreading, multi-processor (SMP) and multi-core (CMP) aware.

FPU Mandel Benchmark

This benchmark measures the double precision (also known as 64-bit) floating-point performance through the computation of several frames of the popular “Mandelbrot” fractal. The code behind this benchmark method is written in Assembly, and it is extremely optimized for every popular AMD, Intel and VIA processor core variants by utilizing the appropriate x87, SSE2, AVX, AVX2, FMA, FMA4 and AVX-512 instruction set extension. FPU Mandel test is HyperThreading, multi-processor (SMP) and multi-core (CMP) aware.

FPU SinJulia Benchmark

This benchmark measures the extended precision (also known as 80-bit) floating-point performance through the computation of a single frame of a modified “Julia” fractal. The code behind this benchmark method is written in Assembly, and it is extremely optimized for every popular AMD, Intel and VIA processor core variants by utilizing trigonometric and exponential x87 instructions. FPU SinJulia is HyperThreading, multi-processor (SMP) and multi-core (CMP) aware.

The memory performance measures in Megabytes per second, here you can see the boards run mostly within error margin of each other which is good and means regardless of which board you pick you will get similar memory based performance.

Aida’s more extensive benchmark tests show A LOT of data to take it but this gives you a good cross-section to compare. The one outlier here is the VP8 performance with MSI which falls behind by 4% compared to the Maximus XI Extreme and the Gigabyte Aorus Pro WiFi. Other than that the results show everything in line.

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